[mlpack-git] [mlpack/mlpack] Modeling LSH For Performance Tuning (#749)

Yannis Mentekidis notifications at github.com
Sun Aug 21 10:06:20 EDT 2016

@rcurtin: This is a first "working" version, in the sense that the algorithm is now complete.

I didn't implement the optimization over the parameter space, I want to be able to test it module-by-module. This current version has, instead, a Predict() function that accepts specific LSH parameters and predicts a recall and selectivity value.

I also didn't use boost's integration functions yet, though I have my code set up for them to be plugged in (see the IntegralObjective class inside LSHModel, for example). Instead I use a simple rectangle method to calculate the integrals.

>From the few test runs I did, it looks like it's hyper-confident, always giving good recall and low selectivity. I'll test it more extensively, there's not guarantee I didn't mess something up :)

Let me know if you have suggestions / comments, or if you find any bugs!

You are receiving this because you are subscribed to this thread.
Reply to this email directly or view it on GitHub:
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://mailman.cc.gatech.edu/pipermail/mlpack-git/attachments/20160821/6795b992/attachment-0001.html>

More information about the mlpack-git mailing list